It's not just one problem we're tackling, it's actually more like 40 small issues that we're working on.
You actually named a few right there - static code analysis, automatic UI generation from YAML. I also want to be clear that not all of it is AI or ML. For example how we price and spec out ideas (https://builder.engineer.ai/) is fully automated and leverages NLP and NNs, and how we handle developer verification uses facial recognition. However many of the problems we are going after don't require AI; heuristics based approaches and statistical models can actually have better results in many cases.
It's not just one problem we're tackling, it's actually more like 40 small issues that we're working on. You actually named a few right there - static code analysis, automatic UI generation from YAML. I also want to be clear that not all of it is AI or ML. For example how we price and spec out ideas (https://builder.engineer.ai/) is fully automated and leverages NLP and NNs, and how we handle developer verification uses facial recognition. However many of the problems we are going after don't require AI; heuristics based approaches and statistical models can actually have better results in many cases.